Relevant bibliographies by topics / Site learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Site learning'

Author: Grafiati
Published: 23 September 2022
Last updated: 29 January 2023

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Journal articles on the topic "Site learning"

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Sandars, John. "The e-learning site." Education for Primary Care 16, no. 1 (January 2005): 94–95. http://dx.doi.org/10.1080/14739879.2005.11493488.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 2 (January 2006): 174–75. http://dx.doi.org/10.1080/14739879.2006.11864056.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 3 (January 2006): 277–78. http://dx.doi.org/10.1080/14739879.2006.11864075.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 4 (January 2006): 408–9. http://dx.doi.org/10.1080/14739879.2006.11864093.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 1 (January 2007): 114–15. http://dx.doi.org/10.1080/14739879.2007.11493535.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 2 (January 2007): 223–24. http://dx.doi.org/10.1080/14739879.2007.11493551.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 3 (May 2007): 407–8. http://dx.doi.org/10.1080/14739879.2007.11493567.

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Sandars, John. "The e-learning site." Education for Primary Care 18, no. 4 (July 2007): 536–37. http://dx.doi.org/10.1080/14739879.2007.11493583.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 5 (January 2007): 650–51. http://dx.doi.org/10.1080/14739879.2007.11493599.

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Sandars, John. "The e-learning site." Education for Primary Care 18, no. 6 (January 2007): 763–64. http://dx.doi.org/10.1080/14739879.2007.11493616.

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Dissertations / Theses on the topic "Site learning"

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Rahman, Shamsul Abdul. "A web site for narrative interactive learning environments /." Leeds, 2001. http://www.leeds.ac.uk/library/counter2/compstmsc/20002001/rahman.ps.

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Bouzarda, Mona. "Relinking para-site." Master's thesis, Universidade de Lisboa, Faculdade de Arquitetura, 2018. http://hdl.handle.net/10400.5/17080.

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Dissertação de Mestrado Integrado em Arquitetura, com a especialização em Arquitetura apresentada na Faculdade de Arquitetura da Universidade de Lisboa para obtenção do grau de Mestre.
Este trabalho consolida a formação urbana da área dos Olivais, no nordoeste de Lisboa. O projecto lida com a requalificação da área industrial da cidade de Lisboa, ocorrida com o resultado da expanção do planeamento e zoneamento urbano . O principal objectivo é a revitalização, a restruturação e a reparação da malha urbana através da ligação proposta de vários terrenos agora isolados. É necessário primeiro entender a evolução do contexto urbano e depois focar nas áreas industriais na zona oeste de Lisboa. Esta conquista infraestructural foi essencial para os assentamentos industriais no início dos anos 40, transformando o bairro dos Olivais, consequentemente com intervenções urbanas, infraestructuras e edifícios de habitação. A esta grande escala de operações urbanas carece um elo de ligação à escala humana e algo que faça renascer a verdadeira origem dos Olivais (campo plantado de oliveiras). É necessária uma intervenção através de vegetação e infraestruturas acessível que permitam uma regeneração desta zona urbana. O local de intervenção é um vazio linear que acompanha a linha férrea desde o Oriente até ao Braço de Prata e que se destaca pela sua falta de função. A presença das áreas verdes na cidade são apresentadas como conexões e espaços públicos. A implantação das funções interligadas e redes de conhecimento contribuem para a interligação urbana. Estimular todas as gerações é um factor essencial para recuperar as partes obsoletas da cidade. A pesquisa sobre a conexão de plataformas infraestruturais cristalizou a tipologia da ponte habitada. O tema de requalificação dos espaços industriais abandonados em Lisboa surgiu a partir da disciplina de Projecto VI de 2016/17.
The paper consolidates the formation of the area of Olivais, in the north eastern part of Lisbon. It deals with the requalification of the obsolete industrial areas in the city of Lisbon due to the course of urban expansion planning and zoning. The aim is to revitalize, restructure and repair the urban mesh by restiching the separated territory. By first understanding the evolution of the urban context the focus later on is put on the industrial areas of Lisbon´s eastern zone. This infrastructural conquering was essential for industrial settlements mainly starting in the 1940s, transforming the neighbourhood of Olivais immensely followed by further big scale planed urban interventions, infrastructure as well as habitation. This big scale urban operations lack a linking member at a human scale and a sense for the origin of the area of Olivais (olive groves). An intervention through greenery and accessible infrastructure allows a regeneration. The place of intervention is a linear void next to the train tracks entailed by their cut through the area from Oriente to Braco de Prata, it stands out in its unemployment. The presence of verdant areas in the city are presented as connective utilities and public space. The implantation of interlocked functions and open knowledge networks contributes to the urban linking. The stimulation of all generations is an essential factor to revive the obsolete city parts. The research on connecting infrastructural platforms crystallize out the typology of the inhabited bridge. The topic of rethinking abandoned industrial spaces in Lisbon was given by the Project VI class ( 2016/17).
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Huss, Jakob. "Cross Site Product Page Classification with Supervised Machine Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

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This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed and tested with various settings. The final result for this classifier ended up being 0.958 in precision and 0.796 in recall for product pages. The scores imply that the method could be considered a valid technique in real world web classification tasks if additional features and more data were made available.
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Melvin, Rebecca. "Site as playground: expanding the experience of play." Kansas State University, 2012. http://hdl.handle.net/2097/13754.

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Master of Landscape Architecture
Department of Landscape Architecture
Katie Kingery-Page
Encouraging creativity is an important part of a child’s education and often not adequately supported by outdoor school environments. Contemporary playgrounds are designed in response to perceptions of liability and a limited interpretation of child development. Prefabricated plastic constructions and expanses of asphalt are poor initiators of creative expression. This project proposes a more stimulating, artistically crafted alternative to the typical playground. Beginning with documented research of play, the project layers psychology, education and humanities to form an understanding of how formal space affects human experience. More specifically, poetry, land art, sculpture, narrative and character studies inform the design solution for a 6.4 acre site at Northview Elementary School in Manhattan, Kansas. Integrated design provides children a meaningful experience of space and direct contact with nature. This design encourages imaginative and creative play, expanding the experiential quality of a contemporary playground.
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Jacobzon, Gustaf. "Multi-site Organ Detection in CT Images using Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290.

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When optimizing a controlled dose in radiotherapy, high resolution spatial information about healthy organs in close proximity to the malignant cells are necessary in order to mitigate dispersion into these organs-at-risk. This information can be provided by deep volumetric segmentation networks, such as 3D U-Net. However, due to limitations of memory in modern graphical processing units, it is not feasible to train a volumetric segmentation network on full image volumes and subsampling the volume gives a too coarse segmentation. An alternative is to sample a region of interest from the image volume and train an organ-specific network. This approach requires knowledge of which region in the image volume that should be sampled and can be provided by a 3D object detection network. Typically the detection network will also be region specific, although a larger region such as the thorax region, and requires human assistance in choosing the appropriate network for a certain region in the body.  Instead, we propose a multi-site object detection network based onYOLOv3 trained on 43 different organs, which may operate on arbitrary chosen axial patches in the body. Our model identifies the organs present (whole or truncated) in the image volume and may automatically sample a region from the input and feed to the appropriate volumetric segmentation network. We train our model on four small (as low as 20 images) site-specific datasets in a weakly-supervised manner in order to handle the partially unlabeled nature of site-specific datasets. Our model is able to generate organ-specific regions of interests that enclose 92% of the organs present in the test set.
Vid optimering av en kontrollerad dos inom strålbehandling krävs det information om friska organ, så kallade riskorgan, i närheten av de maligna cellerna för att minimera strålningen i dessa organ. Denna information kan tillhandahållas av djupa volymetriskta segmenteringsnätverk, till exempel 3D U-Net. Begränsningar i minnesstorleken hos moderna grafikkort gör att det inte är möjligt att träna ett volymetriskt segmenteringsnätverk på hela bildvolymen utan att först nedsampla volymen. Detta leder dock till en lågupplöst segmentering av organen som inte är tillräckligt precis för att kunna användas vid optimeringen. Ett alternativ är att endast behandla en intresseregion som innesluter ett eller ett fåtal organ från bildvolymen och träna ett regionspecifikt nätverk på denna mindre volym. Detta tillvägagångssätt kräver dock information om vilket område i bildvolymen som ska skickas till det regionspecifika segmenteringsnätverket. Denna information kan tillhandahållas av ett 3Dobjektdetekteringsnätverk. I regel är även detta nätverk regionsspecifikt, till exempel thorax-regionen, och kräver mänsklig assistans för att välja rätt nätverk för en viss region i kroppen. Vi föreslår istället ett multiregions-detekteringsnätverk baserat påYOLOv3 som kan detektera 43 olika organ och fungerar på godtyckligt valda axiella fönster i kroppen. Vår modell identifierar närvarande organ (hela eller trunkerade) i bilden och kan automatiskt ge information om vilken region som ska behandlas av varje regionsspecifikt segmenteringsnätverk. Vi tränar vår modell på fyra små (så lågt som 20 bilder) platsspecifika datamängder med svag övervakning för att hantera den delvis icke-annoterade egenskapen hos datamängderna. Vår modell genererar en organ-specifik intresseregion för 92 % av organen som finns i testmängden.
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Plumb, Robin L. "Barriers to the implementation of the Oklahoma learning site initiative." [Johnson City, Tenn. : East Tennessee State University], 2004. http://etd-submit.etsu.edu/etd/theses/available/etd-0330104-210405/unrestricted/PlumbR040804f.pdf.

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Thesis (Ed. D.)--East Tennessee State University, 2004.
Title from electronic submission form. ETSU ETD database URN: etd-0330104-210405. Includes bibliographical references. Also available via Internet at the UMI web site.
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Van, Winkle Christine M. "Meaningful learning at a national historic site how interpretive tour message content affects visitor learning transfer /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181668731/.

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Blackburn, Michael. "Site design : Indiana Dunes environmental learning center sustainable systems demonstration area." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1244867.

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This creative project explores the principles of permaculture, within the context of environmental sustainability, applying them to the development of the master plan for Camp Goodfellow. Camp Good Fellow is the also known as the Indiana Dunes Environmental Learning Center, part of the Indiana Dunes National Lakeshore located in northwestern Indiana.This project involves design of an overnight environmental education facility within the Goodfellow site. Permaculture principles are applied to the development of a third camp cluster at Goodfellow, focused on sustainable systems demonstration. This demonstration provides further direction for the existing draft concept master plan and generates typical site details. The project shows how concepts of permaculture can be integrated and oriented towards sustainability education in the northern Indiana landscape.
Department of Landscape Architecture
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Forrester, Catherine Margaret. "The Influence of On-site Professional Development on Teacher Practice." Thesis, Australian Catholic University, 2018. https://acuresearchbank.acu.edu.au/download/1c98ddfb5f1ff302feb888e849c19e2d94242a71358d9ec3b2f54a1a13cbcd8e/6328919/Forrester_2018_The_influence_of_on_site_professional_development.pdf.

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The purpose of this research was to explore how on-site professional development (PD) addresses the goal of improved teacher practice. It was conducted within the context of a national educational reform in Australia. This reform, implemented from 2009 to 2012/13, was a National Partnership Agreement (NPA) with the Commonwealth Government that included the Smarter Schools National Partnerships (SSNP). This research was a multi-site case study of five Catholic primary schools that implemented on-site PD for four years as part of a system response to a reform agenda. Learning on-site was a change in practice for teachers that involved the establishment of professional learning communities (PLCs) and the appointment in each school of an additional school leader entitled a ‘Teacher Educator’ (TE). The interpretative paradigm of research, through the lens of symbolic interactionism and the epistemology of constructionism, was adopted to guide and inform the study. A multi-site case study methodology was chosen as the five schools constituted a single case on multiple sites that shared the phenomenon of interest, i.e., on-site PD (Huberman & Miles, 2002). The data gathering methods were semi-structured interviews, group interviews and a pre-interview self-reflection tool. Findings emerged through qualitative data analysis that utilised the Constant Comparative Method (Merriam, 1998). The major research question was: How does on-site professional development influence teacher practice? Findings from this research indicate that on-site PD influenced teacher practice in certain ways. First, underpinning the approach to changing teacher practice was collaboration. School leaders shared the instructional leadership role and worked collaboratively with teachers, primarily in classrooms, to demonstrate how teaching practice could change. The influence of system leaders on teacher practice was a secondary process mediated by school leaders. Due to a perceived lack of strategic direction, teacher consultation, or involvement in schools throughout the reform, system leaders were not seen as having a positive influence on teacher practice. Second, the structure of the in-situ leadership role of the TE was a key influence on changed teacher practice because it had a singular emphasis on teaching and learning. However, these new roles also led to tension, defensiveness and feelings of vulnerability from teachers; therefore, building trusting relationships and credibility were critical to their influence. Third, because the evolution of PLCs was an organic process, they emerged differently and did not adhere to any set structure. They morphed over time and the guiding principle that drove their creation was the articulated needs of teachers and what the data revealed to be those of the students. The use of data, the deprivatisation of teaching practice and professional dialogue were associated and instrumental in building teacher capacity, and formed the core focus of the PLCs. These three characteristics influenced teacher practice as their data skills were built along with pedagogical content knowledge. Fourth, the construct of on-site PD influenced teacher practice because the learning for teachers was coherent, active, context specific, relevant, timely, accessible and immediate.
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Clarke, Hance. "A search for the mammalian brain site(s) mediating occasion setting learning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0026/MQ40690.pdf.

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Books on the topic "Site learning"

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Tuinman, Jaap. The on-site personnel who facilitate learning. Victoria: British Columbia Royal Commission on Education, 1988.

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Karl, Swedberg, ed. Learning jQuery. 4th ed. Birmingham: Packt Publishing, 2013.

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1967-, Swedberg Karl, ed. Learning jQuery. 3rd ed. Birmingham: Packt Publishing, 2011.

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Learning Vaadin. Birmingham: Packt Publishing, 2011.

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Learning Joomla! 1.5 extension development. Birmingham: Packt, 2008.

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Liberty, Jesse. Learning ASP.NET 2.0 with Ajax. Beijing: O'Reilly Media, 2007.

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Liberty, Jesse. Learning ASP.NET 2.0 with Ajax. Beijing: O'Reilly Media, 2007.

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Castiello, Maria Elena. Computational and Machine Learning Tools for Archaeological Site Modeling. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88567-0.

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Pavlik, Bradley J. An internship with the Outback Farm: Outdoor experiential learning site. Bellingham, WA: Huxley College of the Environment, Western Washington University, 2002.

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Browne, Glynis Yvonne. Design an e learning site to teach Macromedia Director 8.5. [s.l: The Author], 2003.

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Book chapters on the topic "Site learning"

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Johansson, Sverker, and Ylva Lindberg. "Wikipedia as a Virtual Learning Site and a Multilingual Languaging Site." In Virtual Sites as Learning Spaces, 181–203. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26929-6_7.

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Hopwood, Nick. "Professional Context, Research Site and Partnership." In Professional Practice and Learning, 17–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26164-5_2.

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Giannoulis, Georgios, Anastasia Krithara, Christos Karatsalos, and Georgios Paliouras. "Splice Site Recognition Using Transfer Learning." In Artificial Intelligence: Methods and Applications, 341–53. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07064-3_27.

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Majarian, Timothy D., Ivan Cao-Berg, Xiongtao Ruan, and Robert F. Murphy. "CellOrganizer: Learning and Using Cell Geometries for Spatial Cell Simulations." In Modeling Biomolecular Site Dynamics, 251–64. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9102-0_11.

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Wang, Jing, Jinglin Zhou, and Xiaolu Chen. "Background." In Intelligent Control and Learning Systems, 1–15. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_1.

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AbstractFault detection and diagnosis (FDD) technology is a scientific field emerged in the middle of the twentieth century with the rapid development of science and data technology. It manifests itself as the accurate sensing of abnormalities in the manufacturing process, or the health monitoring of equipment, sites, or machinery in a specific operating site. FDD includes abnormality monitoring, abnormal cause identification, and root cause location.
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Nagalakshmi, G., T. Sarath, and S. Jyothi. "Land Site Image Classification Using Machine Learning Algorithms." In Learning and Analytics in Intelligent Systems, 209–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46939-9_19.

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Ahmad, Sahar, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, and Pew-Thian Yap. "Harmonization of Multi-site Cortical Data Across the Human Lifespan." In Machine Learning in Medical Imaging, 220–29. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21014-3_23.

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Ronen, Roy, Nitin Udpa, Eran Halperin, and Vineet Bafna. "Learning Natural Selection from the Site Frequency Spectrum." In Lecture Notes in Computer Science, 230–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37195-0_19.

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Mereani, Fawaz A., and Jacob M. Howe. "Detecting Cross-Site Scripting Attacks Using Machine Learning." In The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 200–210. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74690-6_20.

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Elghaish, Faris, Farzad Pour Rahimian, Tara Brooks, Nashwan Dawood, and Sepehr Abrishami. "Deep Learning to Improve Construction Site Management Tasks." In Blockchain of Things and Deep Learning Applications in Construction, 99–127. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06829-4_6.

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Conference papers on the topic "Site learning"

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Oprean, Danielle, Debora Verniz, Jiayan Zhao, Jan Oliver Wallgrün, José Duarte, and Alexander Klippel. "Remote Studio Site Experiences: Investigating the Potential to Develop the Immersive Site Visit." In CAADRIA 2018: Learning, Prototyping and Adapting. CAADRIA, 2018. http://dx.doi.org/10.52842/conf.caadria.2018.1.421.

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Zhu, Bin. "Responsive Design: e-Learning Site Transformation." In 2013 Fourth International Conference on Networking and Distributed Computing (ICNDC). IEEE, 2013. http://dx.doi.org/10.1109/icndc.2013.41.

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Paasivaara, Maria, Kelly Blincoe, Casper Lassenius, Daniela Damian, Jyoti Sheoran, Francis Harrison, Prashant Chhabra, Aminah Yussuf, and Veikko Isotalo. "Learning Global Agile Software Engineering Using Same-Site and Cross-Site Teams." In 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE). IEEE, 2015. http://dx.doi.org/10.1109/icse.2015.157.

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Wu, Junjie, Heng Wang, Le Zhang, and Jian Chen. "Enhancing Service Site Selection via Joint Learning." In 2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises, AMIGE. IEEE, 2008. http://dx.doi.org/10.1109/amige.2008.ecp.44.

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Castrillon, J. Gabriel, Ahmad Ahmadi, Nassir Navab, and Jonas Richiardi. "Learning with multi-site fMRI graph data." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094518.

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Xu, Zhi-Ming, Xin-Bo Gao, and Meng Lei. "Web site classification based on key resources." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212766.

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Biezma-Moraleda, M. Victoria. "VISITS WITH STUDENTS TO COMPANIES: EFFECTIVE LEARNING ON SITE." In 14th International Conference on Education and New Learning Technologies. IATED, 2022. http://dx.doi.org/10.21125/edulearn.2022.0038.

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Shang, Penghui, Duolin Wang, Dongpeng Liu, and Dong Xu. "A deep-learning framework for amidation site prediction." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8218035.

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Chakravarty, Arunava, Avik Kar, Ramanathan Sethuraman, and Debdoot Sheet. "Federated Learning for Site Aware Chest Radiograph Screening." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9433876.

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Ahn, Heejae, Dongmin Lee, Seongsoo Lee, Taehoon Kim, Hunhee Cho, and Kyung-In Kang. "Application of Machine Learning Technology for Construction Site." In 34th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2018. http://dx.doi.org/10.22260/isarc2018/0017.

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Reports on the topic "Site learning"

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry production process and at construction sites, particularly for aggregates in stockpile form. This research study presents a 3D reconstruction-segmentation-completion approach based on deep learning techniques by combining three developed research components: field 3D reconstruction procedures, 3D stockpile instance segmentation, and 3D shape completion. The approach was designed to reconstruct aggregate stockpiles from multi-view images, segment the stockpile into individual instances, and predict the unseen side of each instance (particle) based on the partial visible shapes. Based on the dataset constructed from individual aggregate models, a state-of-the-art 3D instance segmentation network and a 3D shape completion network were implemented and trained, respectively. The application of the integrated approach was demonstrated on re-engineered stockpiles and field stockpiles. The validation of results using ground-truth measurements showed satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. The algorithms are integrated into a software application with a user-friendly graphical user interface. Based on the findings of this study, this stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site QA/QC tasks of riprap rock and aggregate stockpiles.
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Gunda, Thushara, and May Cai. Foresee the Future: Using Machine Learning, Climate, and Site Characteristics to Predict PV Solar Plant Generation. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1592882.

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Gurevitz, Michael, William A. Catterall, and Dalia Gordon. Learning from Nature How to Design Anti-insect Selective Pesticides - Clarification of the Interacting Face between Insecticidal Toxins and their Na-channel Receptors. United States Department of Agriculture, January 2010. http://dx.doi.org/10.32747/2010.7697101.bard.

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Structural details on the interacting faces of toxins and sodium channels (Navs), and particularly identification of elements that confer specificity for insects, are difficult to approach and require suitable experimental systems. Therefore, natural toxins capable of differential recognition of insect and mammalian Navs are valuable leads for design of selective compounds in insect control. We have characterized several scorpion toxins that vary in preference for insect and mammalian Navs, and identified residues important for their action. However, despite many efforts worldwide, only little is known about the receptor sites of these toxins, and particularly on differences between these sites on insect and mammalian Navs. Another problem arises from the massive overuse of chemical insecticides, which increases resistance buildup among various insect pests. A possible solution to this problem is to combine different insecticidal compounds, especially those that provide synergic effects. Our recent finding that combinations of insecticidal receptor site-3 toxins (sea anemone and scorpion alpha) with scorpion beta toxins or their truncated derivatives are synergic in toxicity to insects is therefore timely and strongly supports this approach. Our ability to produce toxins and various Navs in recombinant forms, enable thorough analysis and structural manipulations of both toxins and receptors. On this basis we propose to (1) restrict by mutagenesis the activity of insecticidal scorpion -toxins and sea anemone toxins to insects, and clarify the molecular basis of their synergic toxicity with antiinsect selective -toxins; (2) identify Nav elements that interact with scorpion alpha and sea anemone toxins and those that determine toxin selectivity to insects; (3) determine toxin-channel pairwise side-chain interactions by thermodynamic mutant cycle analysis using our large collection of mutant -toxins and Nav mutants identified in aim 2; (4) clarify the mode of interaction of truncated -toxins with insect Navs, and elucidate how they enhance the activity of insecticidal site-3 toxins. This research may lead to rational design of novel anti-insect peptidomimetics with minimal impact on human health and the environment, and will establish the grounds for a new strategy in insect pest control, whereby a combination of allosterically interacting compounds increase insecticidal action and reduce risks of resistance buildup.
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Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45644.

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ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set was generated using two separate map-ping methodologies: one based on in situ observations, and another based on the interpretation of satellite imagery. Existing geospatial data layers and recommendations from local rangeland experts guided site selections for both in situ and remote landform identification. A total of 18 landform types were mapped across 128 sites in New Mexico, Texas, and Mexico using the in situ (31 sites) and remote (97 sites) techniques. The final data set is critical for evaluating the ML-classification model and, ultimately, for improving dust forecasting models.
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Cilliers, Jacobus, Brahm Fleisch, Janeli Kotzé, Nompumelelo Mohohlwane, Stephen Taylor, and Tshegofatso Thulare. Can Virtual Replace In-person Coaching? Experimental Evidence on Teacher Professional Development and Student Learning in South Africa. Research on Improving Systems of Education (RISE), January 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2020/050.

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Virtual communication holds the promise of enabling low-cost professional development at scale, but the benefits of in-person interaction might be difficult to replicate. We report on an experiment in South Africa comparing on-site with virtual coaching of public primary school teachers. After three years, on-site coaching improved students' English oral language and reading proficiency (0.31 and 0.13 SD, respectively). Virtual coaching had a smaller impact on English oral language proficiency (0.12 SD), no impact on English reading proficiency, and an unintended negative effect on home language literacy. Classroom observations show that on-site coaching improved teaching practices, and virtual coaching led to larger crowding-out of home language teaching time. Implementation and survey data suggest technology itself was not a barrier to implementation, but rather that in-person contact enabled more accountability and support.
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Dell'Olio, Franca, and Kristen Anguiano. Vision as an Impetus for Success: Perspectives of Site Principals. Loyola Marymount University, 2009. http://dx.doi.org/10.15365/ceel.policy.2.

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Findings from the first two years of a 3-year evaluation of the PROMISE Model pilot are presented in this policy brief that seeks to understand the extent to which school principals know, understand, and act upon research-based principles for English Language Learners (ELL) and their intersection with the California Professional Standards for Educational Leadership related to promoting ELL success. Surveys and focus groups were used to gather data from school principals at fifteen schools throughout Southern California including early childhood, elementary, middle, and high schools. School principals identified several areas where PROMISE serves as a beacon of hope in promoting and validating critical conversations around a collective vision for success for all learners including ELL, bilingual/biliterate, and monolingual students. Educational and policy recommendations are provided for the following areas: 1) recruitment and selection of personnel and professional development; 2) accountability, communication and support; and 3) university-based educational leadership programs. This policy brief concludes with a call for school principals to facilitate the development, implementation, and stewardship of a vision for learning that highlights success for English Learners and shared by the school and district community.
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Miles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber, and Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, August 1995. http://dx.doi.org/10.32747/1995.7570567.bard.

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In this work multispectral reflectance images are used in conjunction with a neural network classifier for the purpose of detecting and classifying weeds under real field conditions. Multispectral reflectance images which contained different combinations of weeds and crops were taken under actual field conditions. This multispectral reflectance information was used to develop algorithms that could segment the plants from the background as well as classify them into weeds or crops. In order to segment the plants from the background the multispectrial reflectance of plants and background were studied and a relationship was derived. It was found that using a ratio of two wavelenght reflectance images (750nm and 670nm) it was possible to segment the plants from the background. Once ths was accomplished it was then possible to classify the segmented images into weed or crop by use of the neural network. The neural network developed for this work is a modification of the standard learning vector quantization algorithm. This neural network was modified by replacing the time-varying adaptation gain with a constant adaptation gain and a binary reinforcement function. This improved accuracy and training time as well as introducing several new properties such as hill climbing and momentum addition. The network was trained and tested with different wavelength combinations in order to find the best results. Finally, the results of the classifier were evaluated using a pixel based method and a block based method. In the pixel based method every single pixel is evaluated to test whether it was classified correctly or not and the best weed classification results were 81% and its associated crop classification accuracy is 57%. In the block based classification method, the image was divided into blocks and each block was evaluated to determine whether they contained weeds or not. Different block sizes and thesholds were tested. The best results for this method were 97% for a block size of 8 inches and a pixel threshold of 60. A simulation model was developed to 1) quantify the effectiveness of a site-specific sprayer, 2) evaluate influence of diffeent design parameters on efficiency of the site-specific sprayer. In each iteration of this model, infected areas (weed patches) in the field were randomly generated and the amount of required herbicides for spraying these areas were calculated. The effectiveness of the sprayer was estimated for different stain sizes, nozzle types (conic and flat), nozzle sizes and stain detection levels of the identification system. Simulation results indicated that the flat nozzle is much more effective as compared to the conic nozzle and its relative efficiency is greater for small nozzle sizes. By using a site-specific sprayer, the average ratio between the spraying areas and the stain areas is about 1.1 to 1.8 which can save up to 92% of herbicides, especially when the proportion of the stain areas is small.
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Kharkivska, Alla A., Liudmyla V. Shtefan, Muntasir Alsadoon, and Aleksandr D. Uchitel. Technology of forming future journalists' social information competence in Iraq based on the use of a dynamic pedagogical site. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3853.

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The article reveals scientific approaches to substantiating and developing technology to form social information competence of future Iraqi journalists based on using a dynamic pedagogical site. After pre-interviewing students of the Journalism Faculty at Al-Imam Al-Kadhim University College for Islamic Sciences in Baghdad, the authors came to the conclusion there are issues on defining the essence of social information competences. It is established that the majority of respondents do not feel satisfied with the conditions for forming these competences in the education institutions. At the same time, there were also positive trends as most future journalists recognized the importance of these professional competences for their professional development and had a desire to attend additional courses, including distance learning ones. Subsequently, the authors focused on social information competence of future journalists, which is a key issue according to European requirements. The authors describe the essence of this competence as an integrative quality of personality, which characterizes an ability to select, transform information and allows to organize effective professional communication on the basis of the use of modern communicative technologies in the process of individual or team work. Based on the analysis of literary sources, its components are determined: motivational, cognitive, operational and personal. The researchers came to the conclusion that it is necessary to develop a technology for forming social information competence of future journalists based on the use of modern information technologies. The necessity of technology implementation through the preparatory, motivational, operational and diagnostic correction stages was substantiated and its model was developed. The authors found that the main means of technology implementation should be a dynamic pedagogical site, which, unlike static, allows to expand technical possibilities by using such applications as photo galleries, RSS modules, forums, etc. Technically, it can be created using Site builder. Further research will be aimed at improving the structure of the dynamic pedagogical site of the developed technology.
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Datta, Sandip, and Geeta Kingdon. Class Size and Learning: Has India Spent Too Much on Reducing Class Size? Research on Improving Systems of Education (RISE), January 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/059.

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This paper examines the efficacy of class-size reductions as a strategy to improve pupils’ learning outcomes in India. It uses a credible identification strategy to address the endogeneity of class-size, by relating the difference in a student’s achievement score across subjects to the difference in his/her class size across subjects. Pupil fixed effects estimation shows a relationship between class size and student achievement which is roughly flat or non-decreasing for a large range of class sizes from 27 to 51, with a negative effect on learning outcomes occurring only after class size increases beyond 51 pupils. The class-size effect varies by gender and by subject-stream. The fact that up to a class-size of roughly 40 in science subjects and roughly 50 in non-science subjects, there is no reduction in pupil learning as class size increases, implies that there is no learning gain from reducing class size below 40 in science and below 50 in non-science. This has important policy implications for pupil teacher ratios (PTRs) and thus for teacher appointments in India, based on considerations of cost-effectiveness. When generalised, our findings suggest that India experienced a value-subtraction from spending on reducing class-sizes, and that the US$3.6 billion it spent in 2017-18 on the salaries of 0.4 million new teachers appointed between 2010 and 2017 was wasteful spending rather than an investment in improving learning. We show that India could save US$ 19.4 billion (Rupees 1,45,000 crore in Indian currency) per annum by increasing PTR from its current 22.8 to 40, without any reduction in pupil learning.
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Tillett, Will, and Oliver Jones. ‘Improving Rural Sanitation in Challenging Contexts’ Sanitation Learning Hub Learning Brief 8. The Sanitation Learning Hub, Institute of Development Studies, March 2021. http://dx.doi.org/10.19088/slh.2021.006.

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Of the two billion people worldwide lacking access to at least basic sanitation, seven out of ten live in rural areas. Progress has been made on increasing rural sanitation and access levels are rising, but barriers remain in reaching the ‘last mile’ or some 10 to 20 per cent of the population who live in the most challenging contexts. The factors affecting the ability of households to construct and use toilets, as well as the challenges sanitation programmes face in reaching specific groups, are highly diverse. Applying one-size fits all approaches has been proven not to work; therefore, we need more nuanced, adapted, and targeted approaches to capture the universality element of the Sustainable Development Goals (SDGs) and ensure that no one is left behind. However, we recognise that challenges can be persistent and there are limited documented examples of how to overcome these challenges at scale. The Sanitation Learning Hub, UNICEF, and WaterAid commissioned this study to map rural sanitation approaches in challenging contexts and the guidance currently being used, drawing out emerging experiences and lessons. It involved key informant interviews (KIIs) with 44 interviewees, and consulting over 180 documented resources. This Learning Brief provides an overview of the study findings.
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